package com.aolei.mallshop.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.aolei.common.to.es.SkuEsModel;
import com.aolei.common.utils.R;
import com.aolei.mallshop.search.config.MallshopElasticSearchConfig;
import com.aolei.mallshop.search.constant.EsConstant;
import com.aolei.mallshop.search.feign.ProductFeignService;
import com.aolei.mallshop.search.service.MallSearchService;
import com.aolei.mallshop.search.vo.AttrResponseVo;
import com.aolei.mallshop.search.vo.SearchParam;
import com.aolei.mallshop.search.vo.SearchResult;
import org.apache.commons.lang.StringUtils;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    private ProductFeignService productFeignService;

    @Autowired
    private RestHighLevelClient client;

    @Override
    public SearchResult search(SearchParam param) {

        SearchResult result = null;

        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            SearchResponse response = client.search(searchRequest, MallshopElasticSearchConfig.COMMON_OPTIONS);
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }


    private SearchRequest buildSearchRequest(SearchParam param) {

        //1. 构建bool-query
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", param.getBrandId()));
        }
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {

            for (String attr : param.getAttrs()) {
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                String[] s = attr.split("_");
                String attrId = s[0];
                String[] attrValues = s[1].split(":");
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);

                boolQuery.filter(nestedQuery);
            }
        }
        if(param.getHasStock()!=null) {
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        sourceBuilder.query(boolQuery);

        //排序，分页，高亮
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //分页
        if (param.getPageNum()!=null){
            sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
            sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        }


        //高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();

            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }

        //聚合分析

        //品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        brand_agg.field("brandId").size(50);
        sourceBuilder.aggregation(brand_agg);

        //分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg");
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        catalog_agg.field("catalogId").size(20);
        sourceBuilder.aggregation(catalog_agg);

        //嵌入属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId").size(10);

        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        sourceBuilder.aggregation(attr_agg);

        String s = sourceBuilder.toString();
        System.out.println(s);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        return searchRequest;
    }

    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {

        SearchResult searchResult = new SearchResult();

        SearchHits hits = response.getHits();


        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }

                esModels.add(esModel);
            }
        }
        searchResult.setProducts(esModels);
        //所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //属性Id
            long attrId = bucket.getKeyAsNumber().longValue();

            //获取属性名
            ParsedStringTerms attr_name_agg = bucket.getAggregations().get("attr_name_agg");
            String attrName = attr_name_agg.getBuckets().get(0).getKeyAsString();

            //获取属性值
            ParsedStringTerms attr_value_agg = bucket.getAggregations().get("attr_value_agg");
            List<String> attrValues = attr_value_agg.getBuckets().stream().map(item -> {
                String keyAsString = item.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        searchResult.setAttrs(attrVos);

        //当前商品涉及的品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        List<? extends Terms.Bucket> buckets1 = brand_agg.getBuckets();
        for (Terms.Bucket bucket : buckets1) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //得到品牌Id
            long keyAsNumber = bucket.getKeyAsNumber().longValue();
            //得到品牌图片
            ParsedStringTerms brand_img_agg = bucket.getAggregations().get("brand_img_agg");
            String brandImg = brand_img_agg.getBuckets().get(0).getKeyAsString();
            //得到品牌名
            ParsedStringTerms brand_name_agg = bucket.getAggregations().get("brand_name_agg");
            String brandName = brand_img_agg.getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(keyAsNumber);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        searchResult.setBrands(brandVos);

        //当前所有商品涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            //得到分类id
            catalogVo.setCatalogId(Long.parseLong(keyAsString));

            //得到子聚和 分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);

            catalogVos.add(catalogVo);
        }
        searchResult.setCatalogs(catalogVos);

        //分页信息-页码
        Integer pageNum = param.getPageNum();
        searchResult.setPageNum(pageNum);
        //分页信息-总记录数
        long total = hits.getTotalHits().value;
        searchResult.setTotal(total);
        //分页信息-总页码
        int totalPages = total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int)total / EsConstant.PRODUCT_PAGESIZE : ((int)total / EsConstant.PRODUCT_PAGESIZE + 1);
        searchResult.setTotalPages(totalPages);

        List<Integer> pageNavs = new ArrayList<>();
        for (int i=1; i<=totalPages;i++){
            pageNavs.add(i);
        }
        searchResult.setPageNavs(pageNavs);

        //构建面包屑导航
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1、分析每一个attrs传过来的参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attrInfo(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);String encode = null;
                    try {
                        encode = URLEncoder.encode(attr,"UTF-8");
                        encode.replace("+","%20");  //浏览器对空格的编码和Java不一样，差异化处理
                    } catch (UnsupportedEncodingException e) {
                        e.printStackTrace();
                    }
                }

                //2、取消了这个面包屑以后，我们要跳转到哪个地方，将请求的地址url里面的当前置空
                //拿到所有的查询条件，去掉当前

                String replace = param.get_queryString().replace("&attrs=" + attr, "");
                navVo.setLink("http://search.mallshop.com/list.html?" + replace);

                return navVo;
            }).collect(Collectors.toList());

            searchResult.setNavs(collect);
        }


        return searchResult;
    }
}
